BI Data Engineer (m/f/d) at Verlag CHBeck GmbH Co KG

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 26

Salary

50000.0

Posted On

22 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

For over 250 years, the CHBECK media group has stood for reliability, innovation, and the highest quality as a family-owned company steeped in tradition. It distinguishes itself through a broad portfolio ranging from legal and humanities publications to modern online databases, digital platforms, and AI-powered solutions for the legal world of the future. The company combines centuries of expertise with cutting-edge technology to offer innovative and high-quality solutions.

Your tasks

Design and operation of a Microsoft Fabric-based data platform (medallion architecture)
Development and automation of ELT processes for the integration of ERP, CRM and marketing data
Use of Fabric Pipelines, Dataflows Gen2 and Lakehouse technologies
Modeling semantic data models and ontologies
Ensuring data quality through monitoring, validation, and alerting
Implementation of data governance requirements (security, roles, access concepts)
Use of AI-supported tools for documentation, development and data processing
Use of modern development approaches (e.g., Copilots, Prompt-driven Development, MCP-based workflows)

Your profile

Excellent knowledge of Microsoft Fabric or comparable platforms (e.g., Databricks)
Experience with ELT processes, data integration, SQL and Python
Knowledge of Spark, dbt and Medallion architectures
Experience in Power BI data modeling (including DAX basics)
Basic understanding of CI/CD and DevOps
Experience in the use of AI-supported development tools
Interest in prompt engineering and agent-based approaches

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Responsibilities

Your tasks

Design and operation of a Microsoft Fabric-based data platform (medallion architecture)
Development and automation of ELT processes for the integration of ERP, CRM and marketing data
Use of Fabric Pipelines, Dataflows Gen2 and Lakehouse technologies
Modeling semantic data models and ontologies
Ensuring data quality through monitoring, validation, and alerting
Implementation of data governance requirements (security, roles, access concepts)
Use of AI-supported tools for documentation, development and data processing
Use of modern development approaches (e.g., Copilots, Prompt-driven Development, MCP-based workflows)

Your profile

Excellent knowledge of Microsoft Fabric or comparable platforms (e.g., Databricks)
Experience with ELT processes, data integration, SQL and Python
Knowledge of Spark, dbt and Medallion architectures
Experience in Power BI data modeling (including DAX basics)
Basic understanding of CI/CD and DevOps
Experience in the use of AI-supported development tools
Interest in prompt engineering and agent-based approaches